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Privacy policies are long, complex documents that end-users seldom read.
A density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, et al · 1996
Earlier work this paper cites.
Handling noisy training and testing data
Don Blaheta · 2002
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Latent semantic analysis
Susan T Dumais et al · 2004
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The cost of reading privacy policies
Aleecia M McDonald and Lorrie Faith Cranor · 2008
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Privacy as part of the app decision-making process
Patrick Gage Kelley, Lorrie Faith Cranor, and Norman Sadeh · 2013
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The usable privacy policy project
Norman Sadeh, Alessandro Acquisti, Travis D Breaux, Lorrie Faith Cranor, Aleecia M McDonald, Joel R Reidenberg, Noah A Smith, Fei Liu, N Cameron Russell, Florian Schaub, et al · 2013
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TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
William Enck, Peter Gilbert, Seungyeop Han, Vasant Tendulkar, Byung-Gon Chun, Landon P Cox, Jaeyeon Jung, Patrick McDaniel, and Anmol N Sheth · 2014
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Yoon Kim · 2014
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Disagreeable privacy policies: Mismatches between meaning and users’ understanding
Joel R Reidenberg, Travis Breaux, Lorrie Faith Cranor, Brian French, Amanda Grannis, James T Graves, Fei Liu, Aleecia McDonald, Thomas B Norton, and Rohan Ramanath · 2015
Earlier work this paper cites.
Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun · 2015
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy · 2016
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Deep learning for extreme multi-label text classification
Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, and Yiming Yang · 2017
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Automatic differentiation in PyTorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Automated analysis of privacy requirements for mobile apps
Sebastian Zimmeck, Ziqi Wang, Lieyong Zou, Roger Iyengar, Bin Liu, Florian Schaub, Shomir Wilson, Norman M Sadeh, Steven M Bellovin, and Joel R Reidenberg · 2017
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Cited alongside, same era.
Evaluating multi-label classifiers with noisy labels
Wenting Zhao and Carla Gomes · 2021
Later among the works it cites.
PrivacyFlash Pro: Automating privacy policy generation for mobile apps
Sebastian Zimmeck, Rafael Goldstein, and David Baraka · 2021
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Longitudinal analysis of privacy labels in the apple app store
David G Balash, Mir Masood Ali, Xiaoyuan Wu, Chris Kanich, and Adam J Aviv · 2022
Later among the works it cites.
Helping mobile application developers create accurate privacy labels
Jack Gardner, Yuanyuan Feng, Kayla Reiman, Zhi Lin, Akshath Jain, and Norman Sadeh · 2022
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Keeping privacy labels honest
Simon Koch, Malte Wessels, Benjamin Altpeter, Madita Olvermann, and Martin Johns · 2022
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Rethinking complex neural network architectures for document classification
Ashutosh Adhikari, Achyudh Ram, Raphael Tang, and Jimmy Lin · 2019
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RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Cited alongside, same era.
50 ways to leak your data: An exploration of apps’ circumvention of the android permissions system
Joel Reardon, Álvaro Feal, Primal Wijesekera, Amit Elazari Bar On, Narseo Vallina-Rodriguez, and Serge Egelman · 2019
Cited alongside, same era.
Natural language processing for mobile app privacy compliance
Peter Story, Sebastian Zimmeck, Abhilasha Ravichander, Daniel Smullen, Ziqi Wang, Joel Reidenberg, N Cameron Russell, and Norman Sadeh · 2019
Cited alongside, same era.
Compliance traceability: Privacy policies as software development artifacts
Sebastian Zimmeck, Peter Story, Rafael Goldstein, David Baraka, Shaoyan Li, Yuanyuan Feng, and Norman Sadeh · 2019
Cited alongside, same era.
MAPS: Scaling privacy compliance analysis to a million apps
Sebastian Zimmeck, Peter Story, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel Reidenberg, N Cameron Russell, and Norman Sadeh · 2019
Cited alongside, same era.
Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan · 2020
Cited alongside, same era.
Goodbye tracking? impact of iOS app tracking transparency and privacy labels
Konrad Kollnig, Anastasia Shuba, Max Van Kleek, Reuben Binns, and Nigel Shadbolt · 2022
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Understanding challenges for developers to create accurate privacy nutrition labels
Tianshi Li, Kayla Reiman, Yuvraj Agarwal, Lorrie Faith Cranor, and Jason I Hong · 2022
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Learning from noisy labels with deep neural networks: A survey
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, and Jae-Gil Lee · 2022
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Lalaine: Measuring and characterizing non-compliance of apple privacy labels at scale
Yue Xiao, Zhengyi Li, Yue Qin, Jiale Guan, Xiaolong Bai, Xiaojing Liao, and Luyi Xing · 2022
Later among the works it cites.
Gramm-leach-bliley act
Federal Trade Commission · 2023
Closest in time.
iTunes preview
Apple Inc · 2023
Closest in time.